SEQ

소개

This tool functions as a Model Context Protocol (MCP) server, bridging Large Language Models (LLMs) with SEQ structured logging instances. It empowers LLMs to perform diverse operations on log data, including executing powerful filter-based searches, retrieving detailed event information, conducting statistical analysis of log patterns, and accessing predefined signals. By making log data programmable and queryable by AI, it facilitates enhanced observability, automated troubleshooting, and AI-driven insights into system behavior.

주요 기능

• Monitor SEQ server health status
• Access and list saved searches (signals) from SEQ
• Perform statistical analysis of log patterns over time
• Retrieve detailed information for specific log events
• Search log events using SEQ filter syntax
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사용 사례

• Integrating real-time log insights into AI-driven operational workflows
• Automating log monitoring and diagnostic tasks through LLM commands
• Enabling natural language querying and analysis of application logs via LLMs